受强制性开放获取政策约束的文章 - Alexander Merose了解详情
可在其他位置公开访问的文章：6 篇
Discovery of high-entropy ceramics via machine learning
K Kaufmann, D Maryanovsky, WM Mellor, C Zhu, AS Rosengarten, ...
Npj Computational Materials 6 (1), 42, 2020
强制性开放获取政策： US Department of Defense
Crystal symmetry determination in electron diffraction using machine learning
K Kaufmann, C Zhu, AS Rosengarten, D Maryanovsky, TJ Harrington, ...
Science 367 (6477), 564-568, 2020
强制性开放获取政策： US Department of Energy, US Department of Defense
Deep neural network enabled space group identification in EBSD
K Kaufmann, C Zhu, AS Rosengarten, KS Vecchio
Microscopy and Microanalysis 26 (3), 447-457, 2020
强制性开放获取政策： US Department of Defense
Phase mapping in EBSD using convolutional neural networks
K Kaufmann, C Zhu, AS Rosengarten, D Maryanovsky, H Wang, ...
Microscopy and Microanalysis 26 (3), 458-468, 2020
强制性开放获取政策： US Department of Defense
Pangeo forge: crowdsourcing analysis-ready, cloud optimized data production
C Stern, R Abernathey, J Hamman, R Wegener, C Lepore, S Harkins, ...
Frontiers in Climate 3, 782909, 2022
强制性开放获取政策： US National Science Foundation
High-Throughput Identification of Crystal Structures Via Machine Learning
K Kaufmann, C Zhu, AS Rosengarten, D Maryanovsky, T Harrington, ...
Microscopy and Microanalysis 25 (S2), 2258-2259, 2019
强制性开放获取政策： US Department of Defense
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